The key operational and clinical challenge was managing an increasing patient load that demanded faster turnaround times (TAT). Manual processes were prone to pre-analytical and analytical errors, lacked standardization across diagnostic disciplines, and struggled to meet the demand for high-throughput testing with minimal sample volumes. A digital solution was required to automate workflows, minimize manual intervention, and provide real-time monitoring and proactive quality management. Intelligent automation was necessary to eliminate manual touchpoints, optimize sample processing, and ensure absolute sample integrity with complete traceability.
The primary stakeholders affected by these challenges included:
• Patients: Faced potential delays in diagnosis, larger pediatric sample volume requirements, and the risk of repeat sampling due to manual errors.
• Laboratory and Technical Staff: Had to manage heavy workloads manually without centralized workflow visibility, decision support, or real-time tracking.
• Clinicians and Management: Lacked a unified reporting platform and real-time actionable insights to make fast, proactive clinical and operational decisions.
The digital gap directly impacted key National Accreditation Board for Hospitals & Healthcare Providers (NABH) quality indicators. It specifically constrained Patient Safety Goals (COP.3) due to manual error risks, Access, Assessment & Continuity of Care (ACC.1) by slowing down report delivery, and Laboratory Services (MOM.4) regarding standardization, validated methods, and quality control compliance. It also affected overall operational metrics like sample recollection rates, instrument downtime tracking, and data integrity